Elastic Kubernetes Service In Practice
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Elastic Kubernetes Service In Practice
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-29
Elastic Kubernetes Service In Practice written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Computers categories.
"Elastic Kubernetes Service in Practice" "Elastic Kubernetes Service in Practice" is a comprehensive guide designed to help engineers, architects, and DevOps professionals navigate the full lifecycle of Kubernetes workloads running on AWS. Beginning with an in-depth exploration of EKS fundamentals and architecture, the book establishes a strong foundation by demystifying the synergy between Kubernetes and AWS, covering everything from control plane operations to node group architectures, resource management, and secure IAM integration. Readers learn to harness AWS-native tools and best practices for scalable, secure, and compliant cluster management. As the journey progresses, the book moves into advanced operational topics including cluster provisioning and automation, multi-cluster and multi-tenancy design, cost and performance optimization, and disaster recovery strategies. Chapters dedicated to networking, load balancing, and security provide actionable insights into VPC and CNI customization, ingress management, pod isolation, and runtime protection. In-depth coverage of storage architectures, observability, and centralized logging ensures that practitioners can build resilient, audited, and performant applications aligned with enterprise requirements. The narrative further extends into modern workload patterns and delivery ecosystems, offering hands-on guidance for deployment best practices, CI/CD automation, GitOps, and integration with AWS-native services. "Elastic Kubernetes Service in Practice" concludes by examining emerging trends in serverless Kubernetes, hybrid cloud strategies, and machine learning at scale, empowering readers to confidently architect, secure, and operate EKS clusters in both present-day and future-ready AWS environments.
Kubernetes In Production Best Practices
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Author : Aly Saleh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-03-12
Kubernetes In Production Best Practices written by Aly Saleh and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-12 with Computers categories.
Design, build, and operate scalable and reliable Kubernetes infrastructure for production Key FeaturesImplement industry best practices to build and manage production-grade Kubernetes infrastructureLearn how to architect scalable Kubernetes clusters, harden container security, and fine-tune resource managementUnderstand, manage, and operate complex business workloads confidentlyBook Description Although out-of-the-box solutions can help you to get a cluster up and running quickly, running a Kubernetes cluster that is optimized for production workloads is a challenge, especially for users with basic or intermediate knowledge. With detailed coverage of cloud industry standards and best practices for achieving scalability, availability, operational excellence, and cost optimization, this Kubernetes book is a blueprint for managing applications and services in production. You'll discover the most common way to deploy and operate Kubernetes clusters, which is to use a public cloud-managed service from AWS, Azure, or Google Cloud Platform (GCP). This book explores Amazon Elastic Kubernetes Service (Amazon EKS), the AWS-managed version of Kubernetes, for working through practical exercises. As you get to grips with implementation details specific to AWS and EKS, you'll understand the design concepts, implementation best practices, and configuration applicable to other cloud-managed services. Throughout the book, you'll also discover standard and cloud-agnostic tools, such as Terraform and Ansible, for provisioning and configuring infrastructure. By the end of this book, you'll be able to leverage Kubernetes to operate and manage your production environments confidently. What you will learnExplore different infrastructure architectures for Kubernetes deploymentImplement optimal open source and commercial storage management solutionsApply best practices for provisioning and configuring Kubernetes clusters, including infrastructure as code (IaC) and configuration as code (CAC)Configure the cluster networking plugin and core networking components to get the best out of themSecure your Kubernetes environment using the latest tools and best practicesDeploy core observability stacks, such as monitoring and logging, to fine-tune your infrastructureWho this book is for This book is for cloud infrastructure experts, DevOps engineers, site reliability engineers, and engineering managers looking to design and operate Kubernetes infrastructure for production. Basic knowledge of Kubernetes, Terraform, Ansible, Linux, and AWS is needed to get the most out of this book.
Kubernetes Best Practices
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Author : Brendan Burns
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-10-05
Kubernetes Best Practices written by Brendan Burns and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-05 with Computers categories.
In this practical guide, four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container orchestration system. They distill decades of experience from companies that are successfully running Kubernetes in production and provide concrete code examples to back the methods presented in this book. Revised to cover all the latest Kubernetes features, new tooling, and deprecations, this book is ideal for those who are familiar with basic Kubernetes concepts but want to get up to speed on the latest best practices. You'll learn exactly what you need to know to build your best app with Kubernetes the first time. Set up and develop applications in Kubernetes Learn patterns for monitoring, securing your systems, and managing upgrades, rollouts, and rollbacks Integrate services and legacy applications and develop higher-level platforms on top of Kubernetes Run machine learning workloads in Kubernetes Ensure pod and container security Understand issues that have become increasingly critical to the successful implementation of Kubernetes, such as chaos engineering/testing, GitOps, service mesh, and observability
Xgboost In Practice
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-05
Xgboost In Practice written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-05 with Computers categories.
"XGBoost in Practice" "XGBoost in Practice" delivers an authoritative and comprehensive exploration of one of modern machine learning’s most influential algorithms. Designed for data scientists, engineers, and professionals leveraging advanced analytics, this book demystifies the foundations of gradient boosting and the unique mechanics behind XGBoost. Readers are guided step-by-step through core principles, including additive modeling, regularization, handling missing data, and distinctions from alternative frameworks like LightGBM and CatBoost, laying a robust conceptual groundwork. The text goes far beyond theoretical exposition, emphasizing real-world data engineering, rigorous hyperparameter optimization, and advanced evaluation techniques. Each chapter equips readers with actionable methods for feature engineering, managing imbalanced and noisy datasets, distributed model training, and robust validation. Practical guidance on interpreting and explaining model predictions is underpinned by an in-depth treatment of explainability tools, fairness considerations, and strategies to monitor and maintain model performance in dynamic environments. Recognizing the demands of production systems and enterprise-scale deployments, "XGBoost in Practice" covers best practices for scalable deployment, MLOps pipelines, integration with big data platforms, and compliance with governance standards. Readers will also find rich domain-specific applications from fraud detection and time series forecasting to healthcare analytics and text classification. Culminating with chapters on extending XGBoost, GPU acceleration, and custom algorithm development, this book equips practitioners and technical leaders alike to produce, interpret, and operationalize state-of-the-art machine learning solutions with confidence.
Mastering Aws Elastic Kubernetes Services
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Author : Siva Guruvareddiar
language : en
Publisher: BPB Publications
Release Date : 2024-11-28
Mastering Aws Elastic Kubernetes Services written by Siva Guruvareddiar and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Computers categories.
DESCRIPTION “Mastering AWS Elastic Kubernetes Services" is your comprehensive guide to understanding and implementing AWS EKS. This book helps you master Kubernetes, the industry-standard container orchestration platform, on the robust and scalable Amazon Web Services (AWS) cloud. This book is a complete guide to Kubernetes and AWS EKS, starting with the basics of Kubernetes architecture and container orchestration. It introduces AWS EKS, explaining its setup, configuration, and fully managed features on AWS. Advanced topics like networking, security, storage, scaling, and AWS EKS cluster optimization are covered in detail. With practical exercises and real-world applications, the book equips readers to confidently deploy, manage, and fine-tune Kubernetes applications on AWS, helping you gain expertise in implementing CI/CD pipelines for AWS EKS deployments, establishing robust networking policies, and architecting storage solutions for various workload requirements. By the end of this book, you will be equipped with the knowledge to design and manage production-ready AWS EKS environments that align with industry best practices and AWS Well-Architected Framework principles. KEY FEATURES ● Learn end-to-end EKS, from core Kubernetes concepts to advanced cluster operations. ● Master practical skills in EKS security, monitoring, and disaster recovery planning. ● Gain expertise in CI/CD, GitOps, and integration with other AWS cloud services. WHAT YOU WILL LEARN ● Design and deploy production-ready EKS clusters from ground up. ● Implement robust security measures and access controls for EKS workloads. ● Build automated CI/CD pipelines and GitOps workflows for EKS deployments. ● Master EKS networking, storage solutions, and AWS service integrations. ● Establish effective monitoring, logging, and troubleshooting strategies for clusters. ● Architect scalable and resilient applications using EKS best practices. WHO THIS BOOK IS FOR Whether you are a DevOps engineer, cloud architect, or platform administrator, you will learn to design, deploy, and maintain production-grade AWS EKS clusters with confidence with the help of this book. TABLE OF CONTENTS 1. Introduction to Kubernetes 2. Kubernetes Architecture 3. Kubernetes Components 4. Introduction to Amazon Elastic Kubernetes Service 5. Amazon Elastic Kubernetes Service Architecture 6. Setting up Elastic Kubernetes Service Prerequisites 7. Creating Elastic Kubernetes Service Clusters 8. Accessing and Configuring Elastic Kubernetes Service Clusters 9. Deploying Sample Apps on AWS Elastic Kubernetes Service Clusters 10. Managing Stateful Apps on AWS Elastic Kubernetes Service Clusters 11. Scaling AWS Elastic Kubernetes Services Workloads 12. Networking with AWS Elastic Kubernetes Services 13. Securing AWS Elastic Kubernetes Service Clusters 14. Storage Options for AWS EKS Workloads 15. Monitoring AWS EKS Clusters 16. Logging and Troubleshooting AWS EKS Clusters 17. Integrating EKS with Other AWS Services 18. Continuous Integration and Continuous Deployment Pipelines for Amazon EKS 19. GitOps Workflows with Amazon EKS 20. Backup and Disaster Recovery with Amazon EKS 21. Amazon EKS Optimization and Best Practices 22. Data Workloads on Amazon EKS 23. Generative Artificial Intelligence on Amazon EKS
Python And Terraform Infrastructure As Code Standards And Practices
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Author :
language : en
Publisher: jideon francisco marques
Release Date : 2024-02-23
Python And Terraform Infrastructure As Code Standards And Practices written by and has been published by jideon francisco marques this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-23 with Computers categories.
How this book is organized: A roadmap I organized this book into three sections with 13 chapters. Part 1 introduces IaC and how you, as an individual, write it. • Chapter 1 defines IaC and its benefits and principles. The chapter explains that the book has examples in Python, run by HashiCorp Terraform, and deployed to Google Cloud Platform (GCP). I also discuss the tools and use cases you’ll encounter in your IaC journey. • Chapter 2 dives into the principle of immutability and how you can migrate existing infrastructure resources to IaC. It also covers the practices of writing clean IaC. • Chapter 3 offers a few patterns for dividing and grouping infrastructure resources into modules. Each pattern includes an example and a list of use cases. • Chapter 4 covers how to manage dependencies among infrastructure resources and modules and decouple them with dependency injection and some common patterns. Part 2 describes how to write and collaborate on IaC as a team. • Chapter 5 organizes the practices and considerations for expressing IaC in different repository structures and sharing it across your team. • Chapter 6 provides an infrastructure testing strategy. It describes each type of test and how to write them for IaC. • Chapter 7 applies continuous delivery to IaC. It covers a high-level view of branching models and how your team can use them to change infrastructure. • Chapter 8 provides techniques to build secure and compliant IaC, including testing and tagging. Part 3 covers how to manage IaC across your company. • Chapter 9 applies immutability to infrastructure changes, including an example for blue-green deployments. • Chapter 10 refactors a large body of IaC to improve its maintainability and mitigate the blast radius of failed changes to one codebase. • Chapter 11 describes reverting IaC and rolling forward changes to the system. • Chapter 12 addresses the use of IaC to manage cloud computing costs. It includes an example for cost estimation of IaC. • Chapter 13 completes the book with practices to manage and update IaC tools. You will find that many concepts build on each other throughout the book, and it may help to read the chapters in order if you have not previously practiced IaC. Otherwise, you can choose the sections that best apply to the challenges you face in your IaC practice.
Streamsets Pipeline Design And Best Practices
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-05
Streamsets Pipeline Design And Best Practices written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-05 with Computers categories.
"StreamSets Pipeline Design and Best Practices" Mastering modern data engineering requires robust, scalable frameworks and insightful architectural guidance. "StreamSets Pipeline Design and Best Practices" is an authoritative resource that delves into the core components of the StreamSets ecosystem, offering a comprehensive exploration of pipeline architecture, deployment models, and lifecycle management. From foundations such as the StreamSets Data Collector, Transformer, and Control Hub, to multi-environment orchestration and metadata governance, this book provides enterprise-ready blueprints for both cloud-native and hybrid data environments. Security, extensibility, and operational governance are woven throughout, ensuring that readers are equipped to address real-world challenges in data movement and transformation. This book advances beyond the basics, guiding readers through sophisticated concepts in pipeline modeling, custom stage development, and advanced ingestion strategies. Detailed explanations on parameterization, error handling, data lineage, and schema evolution empower teams to build reusable, adaptive, and resilient pipelines. Coverage of bespoke extension development with the StreamSets SDK, performance tuning, and rigorous testing methodologies positions "StreamSets Pipeline Design and Best Practices" as an essential reference for architects developing complex, mission-critical data flows. Real-world patterns for batch, streaming, change data capture, and unstructured data ingestion ensure readers are prepared for a broad spectrum of integration scenarios. Security, compliance, and DevOps automation are addressed in depth, providing practitioners with actionable strategies for encryption, auditability, access control, and automated pipeline delivery. The book culminates in discussions on emerging data engineering paradigms, including serverless architectures, DataOps integration, and machine learning within pipelines. For data engineers, architects, and technical decision makers, this volume offers the insight and expertise required to harness the full capabilities of StreamSets for enterprise data integration and innovation.
Data Engineering Best Practices
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Author : Richard J. Schiller
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-11
Data Engineering Best Practices written by Richard J. Schiller and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-11 with Computers categories.
Explore modern data engineering techniques and best practices to build scalable, efficient, and future-proof data processing systems across cloud platforms Key Features Architect and engineer optimized data solutions in the cloud with best practices for performance and cost-effectiveness Explore design patterns and use cases to balance roles, technology choices, and processes for a future-proof design Learn from experts to avoid common pitfalls in data engineering projects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionRevolutionize your approach to data processing in the fast-paced business landscape with this essential guide to data engineering. Discover the power of scalable, efficient, and secure data solutions through expert guidance on data engineering principles and techniques. Written by two industry experts with over 60 years of combined experience, it offers deep insights into best practices, architecture, agile processes, and cloud-based pipelines. You’ll start by defining the challenges data engineers face and understand how this agile and future-proof comprehensive data solution architecture addresses them. As you explore the extensive toolkit, mastering the capabilities of various instruments, you’ll gain the knowledge needed for independent research. Covering everything you need, right from data engineering fundamentals, the guide uses real-world examples to illustrate potential solutions. It elevates your skills to architect scalable data systems, implement agile development processes, and design cloud-based data pipelines. The book further equips you with the knowledge to harness serverless computing and microservices to build resilient data applications. By the end, you'll be armed with the expertise to design and deliver high-performance data engineering solutions that are not only robust, efficient, and secure but also future-ready.What you will learn Architect scalable data solutions within a well-architected framework Implement agile software development processes tailored to your organization's needs Design cloud-based data pipelines for analytics, machine learning, and AI-ready data products Optimize data engineering capabilities to ensure performance and long-term business value Apply best practices for data security, privacy, and compliance Harness serverless computing and microservices to build resilient, scalable, and trustworthy data pipelines Who this book is for If you are a data engineer, ETL developer, or big data engineer who wants to master the principles and techniques of data engineering, this book is for you. A basic understanding of data engineering concepts, ETL processes, and big data technologies is expected. This book is also for professionals who want to explore advanced data engineering practices, including scalable data solutions, agile software development, and cloud-based data processing pipelines.
Modern Devops Practices
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Author : Gaurav Agarwal
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-01-12
Modern Devops Practices written by Gaurav Agarwal and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-12 with Computers categories.
Enhance DevOps workflows by integrating the functionalities of Git, Docker, Kubernetes, Argo CD, Ansible, Terraform, Istio, and more with the help of practical examples and expert tips Key Features Explore containers as a service (CaaS) and infrastructure automation in the public cloud Secure and ship software continuously to production with DevOps, GitOps, SecOps, and automation Operate distributed and scalable microservices apps in the cloud with a modern service mesh Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDevOps and the cloud have changed how we look at software development and operations like never before, leading to the rapid growth of various DevOps tools, techniques, and practices. This updated edition helps you pick up the right tools by providing you with everything you need to get started with your DevOps journey. The book begins by introducing you to modern cloud-native architecture, and then teaches you about the architectural concepts needed to implement the modern way of application development. The next set of chapters helps you get familiarized with Git, Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools to enable you to build a base. As you advance, you’ll explore the core elements of cloud integration—AWS ECS, GKE, and other CaaS services. The chapters also discuss GitOps, continuous integration, and continuous delivery—GitHub actions, Jenkins, and Argo CD—to help you understand the essence of modern app delivery. Later, you’ll operate your container app in production using a service mesh and apply AI in DevOps. Throughout the book, you’ll discover best practices for automating and managing your development lifecycle, infrastructure, containers, and more. By the end of this DevOps book, you'll be well-equipped to develop and operate applications using modern tools and techniques.What you will learn Explore modern DevOps practices with Git and GitOps Master container fundamentals with Docker and Kubernetes Become well versed in AWS ECS, Google Cloud Run, and Knative Discover how to efficiently build and manage secure Docker images Understand continuous integration with Jenkins on Kubernetes and GitHub Actions Get to grips with using Argo CD for continuous deployment and delivery Manage immutable infrastructure on the cloud with Packer, Terraform, and Ansible Operate container applications in production using Istio and learn about AI in DevOps Who this book is for If you are a software engineer, system administrator, or operations engineer looking to step into the world of DevOps within public cloud platforms, this book is for you. Existing DevOps engineers will also find this book helpful as it covers best practices, tips, and tricks for implementing DevOps with a cloud-native mindset. Although no containerization experience is necessary, a basic understanding of the software development life cycle and delivery will help you get the most out of this book.
Cloud Native Enterprise Architecture Principles Patterns And Practices For Scalable Digital Transformation
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Author : Rahul Ranjan
language : en
Publisher: Xoffencer International Book Publication House
Release Date : 2025-03-12
Cloud Native Enterprise Architecture Principles Patterns And Practices For Scalable Digital Transformation written by Rahul Ranjan and has been published by Xoffencer International Book Publication House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-12 with Computers categories.
Another day, at the office, working on "the next big thing." Your cellphone rings. It's your friendly recruiter - the one who calls you twice a day about new jobs. But this time it's different: Start-up, equity, and plenty of funding. The mention of the cloud and cutting-edge technology pushes you over the edge. Fast forward a few weeks and you're now a new employee in a design session architecting a major eCommerce application. You're going to compete with the leading eCommerce sites.